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This approach works well for the prediction of compounds which cross a cell membrane from a region of high concentration to one of low concentration, but it does not work very well for the prediction of oral bioavailability, which represents the percentage of an oral dose which is able to produce a pharmacological activity. The models for bioavailability had limited predictability because there are a variety of pharmacokinetic factors influencing human oral bioavailability. Recent study has shown that good quantitative relationship could be obtained for subsets of drugs, such as those that have similar structure or the same pharmacological activity, or those that exhibit similar absorption and metabolism mechanisms. In this work, using MLR (Multiple Linear Regression) and SVM (Support Vector Machine), quantitative bioavailability prediction models were built for four kinds of drugs, which are Angiotensin Converting Enzyme Inhibitors or Angiotensin II Receptor Antagonists, Calcium Channel Blockers, Sodium and Potassium Channels Blockers and Quinolone Antimicrobial Agents. Explorations into subsets of compounds were performed and reliable prediction models were built for these four kinds of drugs. This work represents an exploration in predicting human oral bioavailability and could be used in other dataset of compounds with the same pharmacological activity.<\/p>","DOI":"10.4018\/ijcmam.2012100104","type":"journal-article","created":{"date-parts":[[2014,2,12]],"date-time":"2014-02-12T14:40:51Z","timestamp":1392216051000},"page":"29-42","source":"Crossref","is-referenced-by-count":1,"title":["Human Oral Bioavailability Prediction of Four Kinds of Drugs"],"prefix":"10.4018","volume":"3","author":[{"given":"Aixia","family":"Yan","sequence":"first","affiliation":[{"name":"Beijing University of Chemical Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing University of Chemical Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaxuan","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing University of Chemical Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Meng","sequence":"additional","affiliation":[{"name":"Beijing University of Chemical Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijcmam.2012100104-0","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007556711109"},{"key":"ijcmam.2012100104-1","doi-asserted-by":"publisher","DOI":"10.1016\/S1359-6446(01)02100-6"},{"key":"ijcmam.2012100104-2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009715923555"},{"key":"ijcmam.2012100104-3","unstructured":"Chang, C. 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